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ICASSP
2009
IEEE

Detecting real life anger

10 years 4 months ago
Detecting real life anger
Acoustic anger detection in voice portals can help to enhance human computer interaction. A comprehensive voice portal data collection has been carried out and gives new insight on the nature of real life data. Manual labeling revealed a high percentage of non-classifiable data. Experiments with a statistical classifier indicate that, in contrast to pitch and energy related features, duration measures do not play an important role for this data while cepstral information does. Also in a direct comparison between Gaussian Mixture Models and Support Vector Machines the latter gave better results.
Felix Burkhardt, Tim Polzehl, Joachim Stegmann, Fl
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Felix Burkhardt, Tim Polzehl, Joachim Stegmann, Florian Metze, Richard Huber
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